Email Datasets can be found here

A Person Of Interest identifier based on ENRON CORPUS data.

🤖 Codes and notes from Udacity Intro to Machine Learning course.

Exploratory Analysis of Enron Dataset and Classification using multiple algorithms

Machine Learning framework example for Business Email Classification.

This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨‍🎓🤘

This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course

A Spam Filter Python implementation without libraries using Naive Bayes Learning.

Use support vector machine to do text learning in order to classify email by authors

A Person Of Interest Identifier Model, for the Enron Fraud Case, based on various Machine Learning Concepts.

Contains projects needed to complete Udacity's Data Analyst Nanodegree Program

Udacity Machine Learning

Anomaly Detection on the Enron financial-email dataset, using specialised unsupervised machine learning algorithms: One-class SVM, Isolation Forest, LOF.

Machine learning algorithms applied to explore Enron email dataset and figure out patterns about people involved in the scandal.

The final project for the University of Malta unit Web Intelligence (ICS2205). The 60% component involved an individual analysis on a twitter dataset using NetworkX. The 40% component involves half of group task where an analysis was performed on the enron email dataset using NetworkX.

A quick Python implementation of a text generator based on a Markov process.

Working on Enron dataset.

The Indexer crawls over the enron email dataset folders and indexed each file in the ZincSearch database. It also have a User Interface built with vue which allows you to search over the indexed files based on a keyword.